A* Search
17 AMAZING AND EASY SCIENCE EXPERIMENTS Compilation
🛈⏬Sit back and relax. Enjoy 10 minutes of oddly satisfying scientific curiosities featuring various experiments, chemical reactions, tricks, optical illusions you can do at home, and more mind-blowing stuff! Share this video on: Facebook: http://bit.ly/2MK7yDU Twitter: http://bit.ly/2MJSztv Google: http://bit.ly/2KKfPai Subscribe to Home Science http://bit.ly/1zkepdy 00:00 Shredding a photo 01:03 Ambiguous cylinder illusion 01:34 Reverse illusion 01:59 Motion illusion 02:40 Anamorphic illusion 03:27 Magnetic matches 03:49 Freezing balloon 04:23 Magnetic top 04:47 Soap propelled boat 05:08 Hot ice 05:53 Blue crystal 06:25 Microscope projector 06:54 Sugar lava 07:31 Elephant toothpaste 07:47 Flying balloon 08:21 No-leak magic bag 08:41 Homemade hologram Motion illusion Templates: https://goo.gl/fzwTKt How to make Hot Ice: https://youtu.be/pzHiVGeevZE How to grow Blue Crystal: https://youtu.be/yEcIUxqRn5g Sugar lava full video: https://youtu.be/xK4z_YhtTBM Homemade Hologram Projector: https://youtu.be/SKIdY-cOAz0 #Science #Experiments #TricksMy Thoughts on the Science Fair (I didn't like it)
🛈⏬Were you part of the 21% of people who didn't enjoy the science fair? I was. If you liked it, great. If you never did it, (lucky) let me tell you why I didn't like it. UK friends who agree with everything Lightsen ➤ https://www.youtube.com/user/lightsen Herotic ➤ https://www.youtube.com/user/Herobrineskull Grian ➤ https://www.youtube.com/user/Xelqua I HATE EVERYTHING ➤ https://www.youtube.com/user/IHEOfficial ~~~~~~~~~~~~~~~~~~~ Twitter ➤ https://twitter.com/Theodd1sout Website ➤ https://theodd1sout.com/4 Hacks for Finding the Optimal Answer in Coding Interview QUICKLY!
🛈⏬*Just getting started with coding interviews? Check out my Get Ready for Your Coding Interview course on Lynda.com: https://www.lynda.com/Software-Development-tutorials/How-Ace-Developer-Interview/576698-2.html?lpk35=9181&utm_medium=ldc-partner&utm_source=CMPRC&utm_content=524&utm_campaign=CD20605&bid=524&aid=CD20605 (You'll get a 30-day trial with the link)MarI/O - Machine Learning for Video Games
🛈⏬MarI/O is a program made of neural networks and genetic algorithms that kicks butt at Super Mario World. Source Code: http://pastebin.com/ZZmSNaHX NEAT Paper: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf Some relevant Wikipedia links: https://en.wikipedia.org/wiki/Neuroevolution https://en.wikipedia.org/wiki/Evolutionary_algorithm https://en.wikipedia.org/wiki/Artificial_neural_network BizHawk Emulator: http://tasvideos.org/BizHawk.html SethBling Twitter: http://twitter.com/sethbling SethBling Twitch: http://twitch.tv/sethbling SethBling Facebook: http://facebook.com/sethbling SethBling Website: http://sethbling.com SethBling Shirts: http://sethbling.spreadshirt.com Suggest Ideas: http://reddit.com/r/SethBlingSuggestions Music at the end is Cipher by Kevin MacLeodA* (A Star) Search Algorithm - Computerphile
🛈⏬Improving on Dijkstra, A* takes into account the direction of your goal. Dr Mike Pound explains. Correction: At 8min 38secs 'D' should, of course, be 14 not 12. This does not change the result. Dijkstra's Algorithm: https://youtu.be/GazC3A4OQTE How GPS Works: https://youtu.be/EUrU1y5is3Y http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.comBFS and DFS in a Binary Tree
🛈⏬Given a Binary tree, print the Breadth First Search and Depth first Search of the Binary Tree.Mathematics of Machine Learning
🛈⏬Do you need to know math to do machine learning? Yes! The big 4 math disciplines that make up machine learning are linear algebra, probability theory, calculus, and statistics. I'm going to cover how each are used by going through a linear regression problem that predicts the price of an apartment in NYC based on its price per square foot. Then we'll switch over to a logistic regression model to change it up a bit. This will be a hands-on way to see how each of these disciplines are used in the field. Code for this video (with coding challenge): https://github.com/llSourcell/math_of_machine_learning Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval Sign up for the next course at The School of AI: http://theschool.ai/ More learning resources: https://towardsdatascience.com/the-mathematics-of-machine-learning-894f046c568 https://ocw.mit.edu/courses/mathematics/18-657-mathematics-of-machine-learning-fall-2015/ https://www.quora.com/How-do-I-learn-mathematics-for-machine-learning https://courses.washington.edu/css490/2012.Winter/lecture_slides/02_math_essentials.pdf Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5wK-means & Image Segmentation - Computerphile
🛈⏬K-means sorts data based on averages. Dr Mike Pound explains how it works. Fire Pong in Detail: https://youtu.be/ZoZMMg1r_Oc Deep Dream: https://youtu.be/BsSmBPmPeYQ FPS & Digital Video: https://youtu.be/yniSnYtkrwQ Dr. Mike's Code: % This script is the one mentioned during the Computerphile Image % Segmentation video. I chose matlab because it's a popular tool for % quickly prototyping things. Matlab licenses are pricey, if you don't have % one (or, like me, work for an organisation that does) try Octave as a % good free alternative. This code should work in Octave too. % Load in an input image im = imread('C:\Path\Of\Input\Image.jpg'); % In matlab, K-means operates on a 2D array, where each sample is one row, % and the features are the columns. We can use the reshape function to turn % the image into this format, where each pixel is one row, and R,G and B % are the columns. We are turning a W,H,3 image into W*H,3 % We also cast to a double array, because K-means requires it in matlab imflat = double(reshape(im, size(im,1) * size(im,2), 3)); % I specify that initialisation shuold sample points at % random, rather than anything complex like kmeans++ initialisation. % Kmeans++ takes a long time if you are using 256 classes. % Perform k-means. This function returns the class IDs assigned to each % pixel, and in this case we also want the mean values for each class - % what colour is each class. This can take a long time if the value for K % is large, I've used the sampling start strategy to speed things up. % While KMeans is running, it will show you the iteration count, and the % number of pixels that have changed class since last iteration. This % number should get lower and lower, as the means settle on appropriate % values. For large K, it's unlikely that we will ever reach zero movement % (convergence) within 150 iterations. K = 3 [kIDs, kC] = kmeans(imflat, K, 'Display', 'iter', 'MaxIter', 150, 'Start', 'sample'); % Matlab can output paletted images, that is, grayscale images where the % colours are stored in a separate array. This array is kC, and kIDs are % the grayscale indices. colormap = kC / 256; % Scale 0-1, since this is what matlab wants % Reshape kIDs back into the original image shape imout = reshape(uint8(kIDs), size(im,1), size(im,2)); % Save file out, you need to subtract 1 from the image classes, since once % stored in the file the values should go from 0-255, not 1-256 like matlab % would do. imwrite(imout - 1, colormap, 'C:\Path\Of\Output\Image.png'); http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.comTop 10 Most Amazing Science Experiments You Can Do At Home
🛈⏬These Top 10 Homemade DIY Science experiments and tricks will amaze you. This crazy list will show you 10 easy and amazing life hack experiments that are cool and fun to do at home or for a science fair project! Subscribe for more! ► http://bit.ly/BeAmazedSubscribe ◄ Stay updated ► http://bit.ly/BeAmazedFacebook https://twitter.com/BeAmazedVideos https://instagram.com/BeAmazedVideos ◄ For copyright queries or general inquiries please get in touch: beamazedvideos@gmail.comRecursion, the Fibonacci Sequence and Memoization || Python Tutorial || Learn Python Programming
🛈⏬Let’s explore recursion by writing a function to generate the terms of the Fibonacci sequence. We will use a technique called “memoization” to make the function fast. We’ll first implement our own caching, but then we will use Python’s builtin memoization tool: the lru_cache decorator. ➢➢➢➢➢➢➢➢➢➢ To learn Python, you can watch our playlist from the beginning: https://www.youtube.com/watch?v=bY6m6_IIN94&list=PLi01XoE8jYohWFPpC17Z-wWhPOSuh8Er- ➢➢➢➢➢➢➢➢➢➢ We recommend: Python Cookbook, Third edition from O’Reilly http://amzn.to/2sCNYlZ The Mythical Man Month - Essays on Software Engineering & Project Management http://amzn.to/2tYdNeP Shop Amazon Used Textbooks - Save up to 90% http://amzn.to/2pllk4B ➢➢➢➢➢➢➢➢➢➢ Subscribe to Socratica: http://bit.ly/1ixuu9W To support more videos from Socratica, visit Socratica Patreon https://www.patreon.com/socratica Socratica Paypal https://www.paypal.me/socratica We also accept Bitcoin! :) Our address is: 1EttYyGwJmpy9bLY2UcmEqMJuBfaZ1HdG9 ➢➢➢➢➢➢➢➢➢➢ Python instructor: Ulka Simone Mohanty Written & Produced by Michael Harrison FX by Andriy KostyukCoding Interview with Binary Trees, Queues and Breadth First Search - Whiteboard Wednesday
🛈⏬Brought to you by Interview Accelerator at https://www.interviewaccelerator.com For weekly coding practice, check out https://irfanbaqui.com/coding-interview-prep Welcome to Whiteboard Wednesday where I do software engineering interview problems on the whiteboard in a real interview setting. New video every Wednesday. Please like, subscribe and share!Big O Notation
🛈⏬Learn about Big O notation, an equation that describes how the run time scales with respect to some input variables. This video is a part of HackerRank's Cracking The Coding Interview Tutorial with Gayle Laakmann McDowell. http://www.hackerrank.com/domains/tutorials/cracking-the-coding-interview?utm_source=video&utm_medium=youtube&utm_campaign=ctciBackpropagation in 5 Minutes (tutorial)
🛈⏬Let's discuss the math behind back-propagation. We'll go over the 3 terms from Calculus you need to understand it (derivatives, partial derivatives, and the chain rule and implement it programmatically. Code for this video: https://github.com/llSourcell/how_to_do_math_for_deep_learning Please Subscribe! And like. And comment. That's what keeps me going. I've used this code in a previous video. I had to keep the code as simple as possible in order to add on these mathematical explanations and keep it at around 5 minutes. More Learning resources: https://mihaiv.wordpress.com/2010/02/08/backpropagation-algorithm/ http://outlace.com/Computational-Graph/ http://briandolhansky.com/blog/2013/9/27/artificial-neural-networks-backpropagation-part-4 https://jeremykun.com/2012/12/09/neural-networks-and-backpropagation/ https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/ Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Forgot to add my patron shoutout at the end so special thanks to Patrons Tim Jiang, HG Oh, Hoang, Advait Shinde, Vijay Daniel & Umesh Rangasamy Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5wa* algorithm in artificial intelligence example
🛈⏬a* algorithm in artificial intelligence makes use of a priority queue just like Uniform Cost Search with the element stored being the path from the start state to a particular node, but the priority of an element is not the same. read more from below link https://algorithmicthoughts.wordpress.com/2013/01/04/artificial-intelligence-a-search-algorithm/ ********************************************* WATCH MY ARTIFICIAL INTELLIGENCE ALGORITHM PLAYLIST FROM BELOW LINK ********************************************* https://www.youtube.com/watch?v=7TmhnLHoeL8&list=PLNmFIlsXKJMnaoVHNcwBF07Tu244fn1c1A* algorithm in artificial intelligence in hindi | a* algorithm in ai | a* algorithm with example
🛈⏬A* algorithm in artificial intelligence in hindi | a* algorithm in ai | a* algorithm with example It is best-known form of Best First search. It avoids expanding paths that are already expensive, but expands most promising paths first. f(n) = g(n) + h(n), where g(n) the cost (so far) to reach the node h(n) estimated cost to get from the node to the goal f(n) estimated total cost of path through n to goal. It is implemented using priority queue by increasing f(n). Follow us on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy a* algorithm in ai, a* algorithm in artificial intelligence examples, a* algorithm in hindi, a* algorithm in artificial intelligence in english, a* algorithm in artificial intelligence notes, a* algorithm in artificial intelligence tutorial, a* search algorithm in hindi, a* algorithm in artificial intelligence, a* algorithm in artificial intelligence in hindiUniform Cost Search
Maze Solving - Computerphile
🛈⏬Putting search algorithms into practice. Dr Mike Pound reveals he likes nothing more in his spare time, than sitting in front of the TV coding. EXTRA BITS: https://youtu.be/kF7KlThoT9w Mike's Code: http://bit.ly/MikesMarvellousMazes http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.comDecision Tree (CART) - Machine Learning Fun and Easy
🛈⏬Decision Tree (CART) - Machine Learning Fun and Easy ►FREE YOLO GIFT - http://augmentedstartups.info/yolofreegiftsp ►KERAS Course - https://www.udemy.com/machine-learning-fun-and-easy-using-python-and-keras/?couponCode=YOUTUBE_ML Decision tree is a type of supervised learning algorithm (having a pre-defined target variable) that is mostly used in classification problems. A tree has many analogies in real life, and turns out that it has influenced a wide area of machine learning, covering both classification and regression (CART). So a decision tree is a flow-chart-like structure, where each internal node denotes a test on an attribute, each branch represents the outcome of a test, and each leaf (or terminal) node holds a class label. The topmost node in a tree is the root node. ------------------------------------------------------------ Support us on Patreon ►AugmentedStartups.info/Patreon Chat to us on Discord ►AugmentedStartups.info/discord Interact with us on Facebook ►AugmentedStartups.info/Facebook Check my latest work on Instagram ►AugmentedStartups.info/instagram Learn Advanced Tutorials on Udemy ►AugmentedStartups.info/udemy ------------------------------------------------------------ To learn more on Artificial Intelligence, Augmented Reality IoT, Deep Learning FPGAs, Arduinos, PCB Design and Image Processing then check out http://augmentedstartups.info/home Please Like and Subscribe for more videos :)Coding Interview Question with Graphs: Depth First Search
🛈⏬Brought to you by Interview Accelerator at https://www.interviewaccelerator.com Coding interview with undirected graph and DFS (depth first search). For weekly coding practice, check out https://irfanbaqui.com/coding-interview-prep05 Best First Search in Artificial intelligence | Heuristic search
🛈⏬Best First Search is a method to follow a single path at a time , but switch whenever some competing path looks more promotion current one. We select most promising of nodes we generated .Apply heuristic function to each of them.we expand chosen node , if one of them solution , we can quit. If not , all new nodes are added to set of nodes and process continuous. If a solution is not found that branch will start look less promising than one of top level branches that has been ignored.Dijkstra's Algorithm - Computerphile
🛈⏬Dijkstra's Algorithm finds the shortest path between two points. Dr Mike Pound explains how it works. How Sat Nav Works: https://youtu.be/EUrU1y5is3Y Slow Loris Attack: https://youtu.be/XiFkyR35v2Y http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com5. Search: Optimal, Branch and Bound, A*
🛈⏬MIT 6.034 Artificial Intelligence, Fall 2010 View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston This lecture covers strategies for finding the shortest path. We discuss branch and bound, which can be refined by using an extended list or an admissible heuristic, or both (known as A*). We end with an example where the heuristic must be consistent. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.eduAI 101 [Part 7]: Uninformed Search
🛈⏬In part 7 of AI 101, we start looking at basic search methods an understanding how both breadth-first and depth-first algorithms can navigate state spaces. This video accompanies the written piece on my website: http://aiandgames.com/ai-101-part-7-uninformed-search/ Check out more of my AI and Games videos at: http://www.patreon.com/AI_and_Games No copyright is claimed for the game footage, images and music, to the extent that material may appear to be infringed, I assert that such alleged infringement is permissible under fair use principles in copyright laws. If you believe material has been used in an unauthorized manner, please contact me.best first search in artificial intelligence with example - explained
🛈⏬best first search in artificial intelligence with example - explained. read more at: www.engineeringway.com8 puzzle problem in ai
🛈⏬Ai 8 tiles problemThe Internet: How Search Works
🛈⏬Join John, Google's Chief of Search and AI, and Akshaya, from Microsoft Bing, to find out how search really works. They cover everything from how special programs called spiders scan the Internet before you even type in your search terms to what determines which search results show up first. Find out how search algorithms bust spammers, manage location services and even use machine learning to make search better every year. Start learning at http://code.org/ Stay in touch with us! • on Twitter https://twitter.com/codeorg • on Facebook https://www.facebook.com/Code.org • on Instagram https://instagram.com/codeorg • on Tumblr https://blog.code.org • on LinkedIn https://www.linkedin.com/company/code-org • on Google+ https://google.com/+codeorg Ryoji Ikeda: Datamatics by Forma Arts is licensed under CC BY 2.0 Eyeo 2016 by Gene Kogan is licensed under CC BY 2.0 Spider by Oliviu Stoian is licensed under CC BY 2.0 Bowie by Artem Kovyazin is licensed under CC BY 2.0 Spaceship By Creative Staff from the Noun Project is licensed under CC BY 2.0 Rover by Symbolon is licensed under CC BY 2.0 Signal Barrel by Beeple is licensed under CC BY 2.0 Base Ten by Beeple is licensed under CC BY 2.0 Help us caption & translate this video! http://amara.org/v/7o7D/BACKWARD CHAINING with example |Artificial intelligence | in hindi | engineering
🛈⏬INTRODUCTION OF ARTIFICIAL INTELLIGENCE. THIS VIDEO IS VERY HELPFUL FOR ENGINEERING STUDENTS as well as for BCA,MCA students . THIS VIDEO is about backward chaining in artificial intelligence.Algorithms: Graph Search, DFS and BFS
🛈⏬Learn the basics of graph search and common operations; Depth First Search (DFS) and Breadth First Search (BFS). This video is a part of HackerRank's Cracking The Coding Interview Tutorial with Gayle Laakmann McDowell. http://www.hackerrank.com/domains/tutorials/cracking-the-coding-interview?utm_source=video&utm_medium=youtube&utm_campaign=ctciGreedy Best First Search Explained in Hindi - Artificial Intelligence
Recursive Best First Search, Sequence Allignment
🛈⏬Artificial Intelligence by Prof. Deepak Khemani,Department of Computer Science and Engineering,IIT Madras.For more details on NPTEL visit http://nptel.ac.inArtificial Intelligence 16 Best First Search Algorithm Description with Example in Ai
🛈⏬Artificial Intelligence Best first search in ai algorithm description is given in this video and all types of steps involved in the best first search BFS best first search have two list known as open list and close list bfs in aiArtificial Intelligence - Uninformed Search Algorithms (Blind Search)
🛈⏬Uninformed Search Algorithms also known as Blind Search 1. Breadth-First Search 2. Depth-First Search 3. Uniform-Cost Search 4. Depth Limited Search 5. Iterative Deepening Depth-First Search 6. Bidirectional SearchHill Climbing Algorithm in 4 minutes | Artificial Intelligence
🛈⏬Step by step method explanation of Hill Climbing Algorithm in Artificial Intelligence. Subscribe to our channel. :)N QUEEN PROBLEM
🛈⏬N QUEEN PROBLEMIterative Deepening
🛈⏬How to get depth first search to return the shortest path to the goal state by using iterative deepening.Greedy Best First Search And Admissible Heuristic (HINDI)
🛈⏬FOR BEST FIRST SEARCH FOLLOW THE LINK EASIEST EXPLANATION WITH EXAMPLE https://youtu.be/zE3eNFFSepQ 📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5-MINUTES ENGINEERING 📚📚📚📚📚📚📚📚A* Algorithm |A* Algorithm example
🛈⏬A* Algorithm |A* Algorithm exampleCandidate Elimination Algorithm Concept | Machine Learning (2018)
🛈⏬#machinelearning #algorithms #datascience Candidate elimination algorithm finds every hypothesis that is consistent with the training data, meaning it searches the hypothesis space completely. stay tuned with us for Machine Learning series. Watch Find-S algorithm concept video https://www.youtube.com/watch?v=FgqtsPkeklg Watch Navie Bayes Classifier Concept video https://www.youtube.com/watch?v=Zt83JnjD8zg Thank You!!Informed Search - Greedy BFS
Beam Search
🛈⏬its all about educataion and teacching to the students.What is the Minimax Algorithm? - Artificial Intelligence
🛈⏬The minimax algorithm is one of the oldest artificial intelligence algorithms ever. It uses a simple zero sum rule to find which player will win from a current position. This is arguably the most powerful and basic tool for building game playing artificial intelligence. It captures the intentions of two player games fighting against one another. Minimax is the foundation for algorithms like alpha-beta pruning and iterative deepening. Engines like deep blue use optimized versions of minimax to play chess, while other computer programs have also been successful at playing games with minimax. Source Code (Complicated, glance over the evaluate function to get a gist): https://github.com/gkcs/ChainReaction/blob/master/src/main/java/main/java/MinMax.java #minimax #minmax #game-treeArtificial Intelligence 10 Breath First Search with Complexity
Minimax Algorithm in Artificial Intelligence in Hindi | Solved Example 2018
🛈⏬Welcome All, we will see Minimax Algorithm in Artificial Intelligence in Hindi with a solved example. min max algorithm in ai. Minimax is a kind of backtracking algorithm that is used in decision making and game theory to find the optimal move for a player, assuming that your opponent also plays optimally. It is widely used in two player turn-based games such as Tic-Tac-Toe, Backgammon, Mancala, Chess, etc. In Minimax the two players are called maximizer and minimizer. The maximizer tries to get the highest score possible while the minimizer tries to get the lowest score possible while minimizer tries to do the opposite. Every board state has a value associated with it. In a given state if the maximizer has upper hand then, the score of the board will tend to be some positive value. If the minimizer has the upper hand in that board state then it will tend to be some negative value. The values of the board are calculated by some heuristics which are unique for every type of game. If you like this video, LIKE SHARE SUBSCRIBE my channel :)AND/OR graph algorithm
🛈⏬and or graph algo with the help of exampleDepth First Search (DFS) Algorithm in Hindi with Example
🛈⏬Depth First Search (DFS) algorithm traverses a graph in a depthward motion. DFS algorithm uses Stack data structure. DFS Algorithm: Step 1 − Put the starting vertex into the stack. Mark it as visited. Display it. Step 2 − if( STACK[top] has adjacent unvisited vertex ) { Visit the adjacent unvisited vertex and Mark it as visited. push it into the STACK. Display it. } else { pop top element of stack. } (repeat rule 2 until stack is empty)Artificial Intelligence | Tutorial #1 | A Star Algorithm (Solved Problem)
🛈⏬In this video, I'll discuss the steps to solve A* pathfinding algorithm for reaching the goal with the minimum value #RanjiRaj #ArtificialIntelligence #Astar Interact Shaorga Teagaisc # 1: A (Fadhb Réitithe) * Algartam في هذا الفيديو سوف مناقشة الخطوات لحل A * مسار ايجاد خوارزمية للوصول إلى الهدف مع قيمة الحد الأدنى В това видео ще обсъдят стъпките за решаване на A * път намери алгоритъм за постигане на целта, с минимална стойност このビデオでは、最小値で目標に到達するためのA *経路探索アルゴリズムを解決するための手順について説明します 在这个视频中，我将讨论解决A *路径寻找算法的步骤，以达到具有最小值的目标 Dans cette vidéo je vais discuter des étapes pour résoudre A * chemin trouver algorithme pour atteindre l'objectif avec la valeur minimale În acest film voi discuta pașii pentru a rezolva o cale * gasirea algoritm pentru atingerea obiectivului cu o valoare minimă En este video voy a discutir los pasos para resolver A * path encontrar algoritmo para alcanzar la meta con el valor mínimo Neste vídeo, vou discutir as etapas para resolver o algoritmo de localização do caminho A * para alcançar a meta com valor mínimo W tym filmie omówię kroki w celu rozwiązania * ścieżki znajdowanie algorytmu osiągając cel z minimalną wartością En este video voy a discutir los pasos para resolver A * path encontrar algoritmo para alcanzar la meta con el valor mínimo In hoc video ego ad gradus, de * solvere via ad inveniens usque in finem, cum minimum valorem algorithmBreadth First Search (BFS) Algorithm in Hindi with Example
🛈⏬Breadth First Search (BFS) algorithm traverses a graph in a breadth ward motion. BFS algorithm uses Queue data structure. BFS Algorithm: START Step 1 − Visit the starting vertex and mark it as visited. Display it. Set a pointer to the starting vertex.(Currently working Vertex.) Step 2 − if( Currently working Vertex has adjacent unvisited vertex ) { Visit the adjacent unvisited vertex and Mark it as visited. Insert it in a queue. (enqueue) Display it. } else{ Update the pointer to the first element of queue. Remove the first element from queue. (dequeue) } (repeat rule 2 until queue is empty) END If you have any doubt please comment. Don't forget to Share and Subscribe. Email: srn.program.1111@gmail.com facebook: https://www.facebook.com/sourav.s.nag Twitter: https://twitter.com/SRN9999Artificial Intelligence | Tutorial #16 | Simulated Annealing (SA)
🛈⏬Simulated annealing (SA) is a probabilistic technique for approximating the global optimum of a given function. Specifically, it is a metaheuristic to approximate global optimisation in a large search space for an optimisation problem. It is often used when the search space is discrete (e.g., all tours that visit a given set of cities). For problems where finding an approximate global optimum is more important than finding a precise local optimum in a fixed amount of time, simulated annealing may be preferable to alternatives such as gradient descent. #ArtificialIntelligence #SimmulatedAnnealing Follow me on Instagram 👉 https://www.instagram.com/reng_army/ Visit my Profile 👉 https://www.linkedin.com/in/reng99/ Support my work on Patreon 👉 https://www.patreon.com/ranjiraj

best first search algorithm in artificial intelligence with example

Best first search in artificial intelligence use an evaluation function to decide which adjacent is most promising and then explore. Best First Search falls under the category of Heuristic Search or Informed Search. Read from below links for more info : https://www.geeksforgeeks.org/best-first-search-informed-search/ Artificial Intelligence algorithm playlist are at below link: https://www.youtube.com/watch?v=7TmhnLHoeL8&list=PLNmFIlsXKJMnaoVHNcwBF07Tu244fn1c1